LLM Prompt Engineer - Investing Content

The Motley Fool is seeking a seasoned Freelance Prompt Engineer with a specialization in Large Language Models (LLM) such as OpenAI. The ideal candidate will have a blend of content creation experience and strong investing knowledge. Development or coding skills would also be a plus!  We’re anticipating 20-40 hours per week (depending on the freelancer’s schedule) for at least 6 months. This role is flexible and 100% remote however applicants must reside in the United States for consideration.

Who Are We?

We are The Motley Fool a purpose-driven financial information and services firm with more than 30 years of experience focused on making the world smarter happier and richer. But what does that even mean?! It means we’re helping Fools (always with a capital “F”) demystify the world of finance beat the stock market and achieve personal wealth and happiness through our products and services.

Since our founding we’ve cut through the noise and jargon to help people understand the financial world in general and their own finances in particular.

Today we do it at a fairly large scale (50 million page views/month). And we’d like your help as we continue to grow!

The Motley Fool is firmly committed to diversity inclusion and equity. We are a motley group of overachievers that have built a culture of trust founded on Foolishness fun and a commitment to making the world smarter happier and richer.  However you identify or whatever winding road has led you to us please don't hesitate to apply if the description leaves you thinking 'Hey! I could do that!'

What does this team do?

You'll be a key member of a specialized task force focused on creating and refining prompts that will deliver top-notch content for our internal investors and our paying members. This team works closely with other teams across The Fool notably collaborating with AI- and data-focused developers on the tech team as well as analysts on our investing team. The goal of this team is to leverage AI technologies to both scale and improve the quality of the content that we create.

What would you do in this role?

In the role of a Prompt Engineer at The Motley Fool your primary responsibility will be to design and refine prompts for Large Language Models (LLMs) to produce high-quality relevant content with a focus on finance and investing. You'll be crucial in tailoring these prompts to align with our company's unique data and content needs ensuring the output is both accurate and engaging. You’ll also have a focus on continual improvement identifying ongoing refinements for existing prompts. Your role will also involve collaborating with technical teams to integrate these LLMs seamlessly into our platforms enhancing user experience with innovative AI-driven content and features.

But what would you actually do in this role?

• Develop and fine-tune prompts for LLMs to generate high-quality relevant content particularly in the field of finance and investing.

• Collaborate with data science teams to integrate LLM outputs into various platforms.

• Understand and implement best practices in prompt engineering to maximize the efficiency and effectiveness of LLMs.

• Work with investment experts to ensure that content generated by LLMs is accurate and useful for financial decision-making.

• Maintain and improve the technical infrastructure supporting LLMs including basic coding and API integrations.

What do I need to apply?

• Strong background in content creation and writing with an emphasis on finance and investing.

• Interest in investing. Having an active personal portfolio is a big plus.

• Familiarity with LLMs particularly in designing and optimizing prompts.

• Experience with OpenAI's GPT models or similar LLMs.

• Coding skills including experience with Python and RESTful APIs.

• Excellent problem-solving abilities and strong analytical skills.

• Ability to communicate complex technical concepts effectively.

• Excitement at the idea of solving the puzzle of using LLMs to create top-notch content that wows our users.

Even better if you have...

• Understanding of AI and machine learning principles especially in the context of LLMs.

• Background in finance or investment with a strong grasp of financial concepts and market dynamics.

• Experience in a collaborative interdisciplinary team environment.